Hex

Collaborative notebook and app workspace with AI-assisted analysis

AI Data AnalysisFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Hex?

Hex is a browser-based workspace where SQL, Python and visualisations live in one document that can be published as an interactive data app. Analysts connect to a warehouse, explore in cells, then share the result as an app with parameterised inputs rather than a screenshot or a static dashboard. Its AI layer, called Magic, generates SQL and Python from a description, explains existing code, fixes errors and drafts chart configurations using the schema it can see. That combination - notebook flexibility, app-style delivery and AI assistance grounded in the connected warehouse - is what separates it from both classic notebooks and classic dashboards.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Polyglot cells mixing SQL, Python and markdown in one notebook
  • Publish notebooks as interactive apps with parameterised inputs
  • Magic AI that writes and explains SQL and Python from a prompt
  • Warehouse-aware context so generated queries use the real schema
  • Built-in charting with drag-and-drop and code-level control
  • Version history, comments, scheduling and git-style sync

Pros & cons

Strengths

  • Moves from exploration to a shareable app without leaving the tool
  • AI suggestions are grounded in the connected warehouse schema
  • Comfortable for SQL analysts and Python users in the same document

Watch out for

  • Compute costs are tied to your warehouse, which can surprise teams
  • Notebook-style apps still require care to keep readable for viewers
  • AI features need warehouse credentials and careful permission design

Best for & use cases

analytics notebooks, data apps, sql exploration and ad hoc analysis

If you're comparing similar products, check the alternatives below, or browse all tools in the AI Data Analysis category.

FAQ

Is Hex a replacement for a dashboard tool?

Partly. It replaces the exploratory and ad hoc layer and handles app-style delivery well. Many teams still keep a BI tool for standard operating dashboards and use Hex for analysis, modelling and one-off or parameterised apps.

How does the AI feature handle accuracy?

Magic reads the connected schema and generates queries against real tables, which reduces invented column names. It can still misread business logic, so reviewing generated SQL before publishing anything is standard practice.

What does it cost to run?

The Hex subscription is only part of the picture: each query and Python cell runs on your warehouse, so usage-based warehouse costs apply. Small teams often find the platform fee predictable and the warehouse bill the variable.